Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mbart-finetuned-eng-ind-32 – AI Model by hopkins | AlphaNeural AI
You can deploy this model and start earning money today!
hopkins
/
mbart-finetuned-eng-ind-32
like
0
transformers
pytorch
tensorboard
mbart
text2text-generation
translation
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mbart-finetuned-eng-ind-32
This model is a fine-tuned version of
facebook/mbart-large-50-many-to-many-mmt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7674
Bleu: 21.9161
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
